Enhancing Psychometrics with Interactive ShinyItemAnalysis Modules

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00580482" target="_blank" >RIV/67985807:_____/23:00580482 - isvavai.cz</a>

Výsledek na webu

<a href="https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf" target="_blank" >https://eam2023.ugent.be/images/eam2023_abstracts_book.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Enhancing Psychometrics with Interactive ShinyItemAnalysis Modules

Popis výsledku v původním jazyce

ZÁKLADNÍ ÚDAJE: The 10th European Congress of Methodology (EAM2023) Book of Abstracts. Ghent: Ghent University, 2023. s. 273-273. [EAM2023: European Congress of Methodology /10./. 11.07.2023-13.07.2023, Ghent]. ABSTRAKT: ShinyItemAnalysis is an R package and Shiny application widely used to teach psychometric concepts and conduct psychometric analyses without any coding experience (Martinková & Hladká, forthcoming). In this work, we present a new feature that has been introduced in the latest version of ShinyItemAnalysis, called ”SIA modules”. These modules, written completely in R using the Shiny package, allow researchers and practitioners to offer new analytical methods for wider use. SIA modules are designed to integrate with and build upon the ShinyItemAnalysis app (Martinková & Hladká, 2018), enabling them to leverage the existing infrastructure for tasks such as data uploading and processing. They can access a range of outputs from various analyses, including item response theory models, exploratory factor analysis, or differential item functioning models. Because SIA modules come in R packages (or extend the existing ones), they may come bundled with their own datasets, use compiled code, etc. We provide two SIA modules for demonstration: A module for estimation of inter-rater reliability in grant proposal peer-reviews under range restriction (Erosheva et al., 2021), and a didactic showcase of computerized adaptive testing (CAT) that covers the main CAT ideas and demonstrates the possibility to use the module’s own data as well as the data uploaded by the user. In summary, the SIA modules offer an innovative and interactive way for psychometricians to share their research and advances in methodology. This feature makes it easier for researchers and practitioners to explore psychometric concepts and analyses in a user-friendly way.

Název v anglickém jazyce

Enhancing Psychometrics with Interactive ShinyItemAnalysis Modules

Popis výsledku anglicky

ZÁKLADNÍ ÚDAJE: The 10th European Congress of Methodology (EAM2023) Book of Abstracts. Ghent: Ghent University, 2023. s. 273-273. [EAM2023: European Congress of Methodology /10./. 11.07.2023-13.07.2023, Ghent]. ABSTRAKT: ShinyItemAnalysis is an R package and Shiny application widely used to teach psychometric concepts and conduct psychometric analyses without any coding experience (Martinková & Hladká, forthcoming). In this work, we present a new feature that has been introduced in the latest version of ShinyItemAnalysis, called ”SIA modules”. These modules, written completely in R using the Shiny package, allow researchers and practitioners to offer new analytical methods for wider use. SIA modules are designed to integrate with and build upon the ShinyItemAnalysis app (Martinková & Hladká, 2018), enabling them to leverage the existing infrastructure for tasks such as data uploading and processing. They can access a range of outputs from various analyses, including item response theory models, exploratory factor analysis, or differential item functioning models. Because SIA modules come in R packages (or extend the existing ones), they may come bundled with their own datasets, use compiled code, etc. We provide two SIA modules for demonstration: A module for estimation of inter-rater reliability in grant proposal peer-reviews under range restriction (Erosheva et al., 2021), and a didactic showcase of computerized adaptive testing (CAT) that covers the main CAT ideas and demonstrates the possibility to use the module’s own data as well as the data uploaded by the user. In summary, the SIA modules offer an innovative and interactive way for psychometricians to share their research and advances in methodology. This feature makes it easier for researchers and practitioners to explore psychometric concepts and analyses in a user-friendly way.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů